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qualifications. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.IX - Jury Composition: President: Quan Zhang Effective
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data architecture, and artificial intelligence models that integrate generative AI for natural-language interaction with models tailored to specific crops and agroclimatic contexts. The work consists of
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, the research investigates how the inclusion of AI elements—such as LLMs challenges conventional architectural styles, architecture evaluation methods, and governance models, requiring new approaches
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role in enabling this transition, while also introducing new challenges related to system dynamics, stability, and control. This project focuses on the development of modeling, stability analysis
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through vehicle-to-grid (V2G) technologies and mobile energy storage. This project focuses on the design, modeling, control, and hardware development of fast charging systems for heavy-duty electric
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to lanthanide molecular magnets. While the SFX2C-1e model has been recently used to model core-level spectra, its combination with EOM-CC for molecular magnets has lagged behind. We will link EOM-CC to SFX2C-1e
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communication testbeds using TMYTEK hardware Implement deep learning models for wireless channel estimation, signal detection, or beamforming Collect, process, and analyze experimental RF data Support MATLAB
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for planning, network modeling, and resource scheduling, considering different usage perspectives and performance criteria; (ii) Contribute to the development and implementation of the different solution modules
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: Chetelat, B., Gaillardet, J., Chen, J.Bin, 2021. Dynamic of boron in forest ecosystems traced by its isotopes: a modeling approach. Chem. Geol. 560, 119994. https://doi.org/10.1016/j.chemgeo.2020.119994
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-Physical Energy Systems The PhD position focuses on the development of secure and trustworthy AI for resource-constrained embedded systems. The research will investigate how machine learning models can be